{"id":"https://openalex.org/W2746692231","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015559","title":"Noise rejection schemes for FCM-type co-clustering based on uniform noise distribution","display_name":"Noise rejection schemes for FCM-type co-clustering based on uniform noise distribution","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2746692231","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015559","mag":"2746692231"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2017.8015559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044640537","display_name":"Nami Yamamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nami Yamamoto","raw_affiliation_strings":["Graduate School of Engineering Osaka Prefecture University, Sakai, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065073668","display_name":"Katsuhiro Honda","orcid":"https://orcid.org/0000-0001-9080-5942"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuhiro Honda","raw_affiliation_strings":["Graduate School of Engineering Osaka Prefecture University, Sakai, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088522517","display_name":"Seiki Ubukata","orcid":"https://orcid.org/0000-0002-5736-808X"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiki Ubukata","raw_affiliation_strings":["Graduate School of Engineering Osaka Prefecture University, Sakai, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068927261","display_name":"Akira Notsu","orcid":null},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Notsu","raw_affiliation_strings":["Graduate School of Humanities and Sustainable System Sciences, Osaka Prefecture University, Sakai, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Humanities and Sustainable System Sciences, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2065,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64248583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8164899349212646},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6902335286140442},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6304652094841003},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5584990978240967},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.5385230183601379},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5171827077865601},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5170758366584778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.512033998966217},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49394088983535767},{"id":"https://openalex.org/keywords/k-medians-clustering","display_name":"k-medians clustering","score":0.4794427454471588},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4715801775455475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46489375829696655},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.44483137130737305},{"id":"https://openalex.org/keywords/determining-the-number-of-clusters-in-a-data-set","display_name":"Determining the number of clusters in a data set","score":0.4310712218284607},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4302506744861603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4042203426361084},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.3590344488620758}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8164899349212646},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6902335286140442},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6304652094841003},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5584990978240967},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.5385230183601379},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5171827077865601},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5170758366584778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.512033998966217},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49394088983535767},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.4794427454471588},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4715801775455475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46489375829696655},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.44483137130737305},{"id":"https://openalex.org/C149872217","wikidata":"https://www.wikidata.org/wiki/Q5265701","display_name":"Determining the number of clusters in a data set","level":5,"score":0.4310712218284607},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4302506744861603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4042203426361084},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.3590344488620758},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2017.8015559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1950259624","https://openalex.org/W1965341892","https://openalex.org/W1995261498","https://openalex.org/W2098418076","https://openalex.org/W2113076747","https://openalex.org/W2115077250","https://openalex.org/W2116442055","https://openalex.org/W2127218421","https://openalex.org/W2132700947","https://openalex.org/W2278532921","https://openalex.org/W2302755143","https://openalex.org/W2566216356","https://openalex.org/W4247930955","https://openalex.org/W6640723927","https://openalex.org/W6678914141","https://openalex.org/W6694777023"],"related_works":["https://openalex.org/W2393816671","https://openalex.org/W2892323093","https://openalex.org/W1584028106","https://openalex.org/W2386689530","https://openalex.org/W2394193399","https://openalex.org/W2293953271","https://openalex.org/W2367377022","https://openalex.org/W2389804866","https://openalex.org/W2352963450","https://openalex.org/W2884893917"],"abstract_inverted_index":{"Fuzzy":[0],"co-clustering":[1,48,57,91,115],"is":[2,14,51,101],"an":[3,65],"extension":[4],"of":[5,12,20,23,98],"FCM-type":[6,47,114],"clustering,":[7],"where":[8,71],"the":[9,17,27,55,72,105],"within-cluster-error":[10],"measure":[11],"FCM":[13,60],"replaced":[15],"by":[16,63],"aggregation":[18],"degree":[19],"two":[21],"types":[22],"fuzzy":[24],"memberships":[25],"with":[26],"goal":[28],"being":[29],"to":[30,77,102],"estimate":[31],"object-item":[32],"pairwise":[33],"clusters":[34],"from":[35],"their":[36,119],"cooccurrence":[37],"information.":[38],"This":[39],"paper":[40,100],"proposes":[41],"a":[42,79],"noise":[43,67,73],"rejection":[44],"scheme":[45],"for":[46,88,92],"models,":[49,116],"which":[50],"constructed":[52],"based":[53,125],"on":[54,126],"probabilistic":[56,89,127],"concept.":[58],"Noise":[59],"was":[61,75,86],"achieved":[62],"introducing":[64],"additional":[66],"cluster":[68,74],"into":[69],"FCM,":[70],"assumed":[76],"have":[78],"uniform":[80,106],"prototype":[81],"distribution.":[82],"A":[83],"similar":[84],"concept":[85,108],"implemented":[87],"concept-based":[90],"robust":[93],"estimation.":[94],"The":[95],"main":[96],"contribution":[97],"this":[99],"demonstrate":[103],"that":[104],"distribution":[107],"can":[109],"also":[110],"be":[111],"useful":[112],"in":[113],"even":[117],"though":[118],"objective":[120],"functions":[121],"are":[122],"not":[123],"designed":[124],"concepts.":[128]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
